Automatic Multi-word Units Extraction is an important issue in Natural Language Processing. This paper has proposed a new statistical method based on a large-scale balanced corpus to extract multi-word units. We have used two improved traditional parameters: mutual information and log-likelihood ratio, and have increased the precision for the top 10,000 words extracted through the method to 80.13%. The results of the research indicate that this method is more efficient a...
